Li, Guorui and Wong, Tuck Whye and Shih, Benjamin and Guo, Chunyu and Wang, Luwen and Liu, Jiaqi and Wang, Tao and Liu, Xiaobo and Yan, Jiayao and Wu, Baosheng and Yu, Fajun and Chen, Yunsai and Liang, Yiming and Xue, Yaoting and Wang, Chengjun and He, Shunping and Li, Wen and Tolley, Michael T. and Zhang, A. Man and Laschi, Cecilia and Li, Tiefeng (2023) Bioinspired soft robots for deep-sea exploration. Nature Communications, 14 (1). pp. 1-10. ISSN 2041-1723
![]() |
PDF
642kB |
Official URL: http://dx.doi.org/10.1038/s41467-023-42882-3
Abstract
The deep ocean, Earth’s untouched expanse, presents immense challenges for exploration due to its extreme pressure, temperature, and darkness. Unlike traditional marine robots that require specialized metallic vessels for protection, deep-sea species thrive without such cumbersome pressure-resistant designs. Their pressure-adaptive forms, unique propulsion methods, and advanced senses have inspired innovation in designing lightweight, compact soft machines. This perspective addresses challenges, recent strides, and design strategies for bioinspired deep-sea soft robots. Drawing from abyssal life, it explores the actuation, sensing, power, and pressure resilience of multifunctional deep-sea soft robots, offering game-changing solutions for profound exploration and operation in harsh conditions.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | human experiment, darkness, deep sea |
Subjects: | Q Science > Q Science (General) |
Divisions: | Biosciences and Medical Engineering |
ID Code: | 106027 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 29 May 2024 06:38 |
Last Modified: | 29 May 2024 06:38 |
Repository Staff Only: item control page